CN115760188A - Medium-and-long-term contract electric quantity decomposition method considering carbon emission balance - Google Patents

Medium-and-long-term contract electric quantity decomposition method considering carbon emission balance Download PDF

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CN115760188A
CN115760188A CN202211449146.5A CN202211449146A CN115760188A CN 115760188 A CN115760188 A CN 115760188A CN 202211449146 A CN202211449146 A CN 202211449146A CN 115760188 A CN115760188 A CN 115760188A
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contract
electric quantity
unit
electric machine
month
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崔锦瑞
吴昊
林哲敏
江昕玥
李雅婷
季超
齐慧
何川
王韵楚
王海超
周涛
李永波
江海龙
钱寒晗
杨莉
林振智
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Anhui Electric Power Trading Center Co ltd
Zhejiang University ZJU
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Anhui Electric Power Trading Center Co ltd
Zhejiang University ZJU
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Abstract

The invention discloses a medium and long term contract electric quantity decomposition method considering carbon emission balance, and belongs to the technical field of electric power system scheduling. The method comprises the following steps: considering the contract completion progress balance and the carbon emission balance of the unit, constructing an annual contract electric quantity decomposition model and decomposing the annual contract electric quantity of the unit to a month; considering the consistency of the completion progress of unit contracts of the same type, constructing a monthly contract electric quantity decomposition model and decomposing monthly contract electric quantity of the unit to every day; and calculating the contract electric quantity decomposition results of the unit at different time intervals according to the load proportion based on a typical load curve principle. The medium-and-long-term contract electric quantity decomposition method considering carbon emission balance is beneficial to reasonably and effectively decomposing medium-and-long-term electric quantity into the output curve of each unit according to the carbon emission requirement, avoids cyclic correction of contract electric quantity during maintenance, provides decision support for decomposing medium-and-long-term contract electric quantity by market operating organizations, and facilitates electric power market settlement and electric power system scheduling execution.

Description

Medium-and-long-term contract electric quantity decomposition method considering carbon emission balance
Technical Field
The invention relates to the technical field of power system scheduling, in particular to a medium-long term contract electric quantity decomposition method considering carbon emission balance.
Background
With the further development and continuous promotion of the Chinese electric power spot market, the future electric power market is a complex multi-trading-variety coexisting multi-trading-period-linked multi-element multi-level market. The contract signed in by the medium-long term market needs to be decomposed into a power curve by both purchasing and selling parties before running in real time, the power curve is submitted to a dispatching mechanism, the power curve is physically executed after being checked through safety constraint, and trading adjustment is carried out in the spot market. Monthly carbon emission of all power generation enterprises is related to a contract electricity decomposition result, and meanwhile, the average annual utilization hours of a thermal power generating unit is continuously reduced due to carbon emission limitation, so that the supply and demand conditions and clearing price of an electric energy market and a power system scheduling result are influenced. Therefore, how to consider the carbon emission of different types of power generation enterprises to optimize the contract power decomposition becomes a major problem to be solved urgently in the power market which adopts the medium-and-long-term contract physical execution.
Disclosure of Invention
A medium and long term contract electric quantity decomposition method considering carbon emission balance. Firstly, considering the unit contract completion progress balance and the carbon emission balance, constructing an annual contract electric quantity decomposition model and decomposing the annual contract electric quantity of the unit to the month; then, considering the consistency of contract completion progress of the same type of unit, constructing a monthly contract electric quantity decomposition model and decomposing monthly contract electric quantity of the unit to every day; and finally, calculating the contract electric quantity decomposition results of the unit in different time periods according to the load proportion based on the typical load curve principle. The medium-and-long-term contract electric quantity decomposition method considering carbon emission balance is beneficial to reasonably and effectively decomposing medium-and-long-term electric quantity into the output curve of each unit according to the carbon emission requirement, avoids cyclic correction of contract electric quantity during maintenance, provides decision support for decomposing medium-and-long-term contract electric quantity by market operating organizations, and facilitates electric power market settlement and electric power system scheduling execution.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a medium-and-long-term contract electric quantity decomposition method considering carbon emission balance comprises the following steps:
step 1: considering the unit contract completion progress balance and the carbon emission balance, constructing an annual contract electric quantity decomposition model and decomposing the annual contract electric quantity of the unit to a month;
step 2: considering the consistency of the contract completion progress of the same type of unit contracts, constructing a monthly contract electric quantity decomposition model and decomposing monthly contract electric quantity of the unit to be daily;
and step 3: and calculating the contract electric quantity decomposition results of the unit at different time intervals according to the load proportion based on a typical load curve principle.
In the above technical solution, further, in step 1, an annual contract electric quantity decomposition model is constructed to decompose annual contract electric quantity of the unit to a month according to consideration of progress balance and carbon emission balance of the unit contract, and the specific implementation method is as follows:
the annual contract electric quantity decomposition model decomposes the annual contract electric quantity of each unit to the month, and the unit contract completion progress balance and the carbon emission balance are considered in the decomposition process, so that the model has two objective functions. The first objective function is that monthly contract completion progress of the same type of unit is balanced as much as possible, and can be expressed as follows:
Figure BDA0003950787660000021
Figure BDA0003950787660000022
Figure BDA0003950787660000023
Figure BDA0003950787660000024
Figure BDA0003950787660000025
wherein M is the total monthly parts per year, and M =12; i is c And J g The number of the coal electric machine set and the number of the gas electric machine set are respectively;
Figure BDA0003950787660000026
and
Figure BDA0003950787660000027
respectively the contract completion degrees from the coal electric machine set i and the gas electric machine set j to the mth month;
Figure BDA0003950787660000028
and
Figure BDA0003950787660000029
respectively the average contract completion degrees of all the coal electric machine sets and all the gas electric machine sets in the mth month;
Figure BDA00039507876600000210
and
Figure BDA00039507876600000211
respectively decomposing the electric quantity of the coal electric machine set i and the electric quantity of the gas electric machine set j to the kth month;
Figure BDA00039507876600000212
and
Figure BDA00039507876600000213
the annual contract electric quantity of the coal electric machine set i and the annual contract electric quantity of the air electric machine set j are respectively obtained.
Setting a target vector of carbon emission proportion of monthly in whole year set by a trading center as N = (N) 1 ,n 2 ,...,n M ) Satisfy the following requirements
Figure BDA00039507876600000214
The actual setting can be considered according to the monthly load proportion, or 12 monthsAnd (4) evenly distributing. A second objective function of annual contract decomposition is to have monthly carbon emissions as close as possible to the target proportion set by the trading center, which can be expressed as:
Figure BDA0003950787660000031
Figure BDA0003950787660000032
Figure BDA0003950787660000033
in the formula, C m The total carbon emission of all units in the mth month; c y The total carbon emission amount corresponding to annual contract electric quantity signed by all the units; m c,i And M g,i Carbon emission coefficients of the coal electric machine set i and the gas electric machine set j respectively represent carbon emission corresponding to unit generated energy;
Figure BDA0003950787660000034
and
Figure BDA0003950787660000035
the electric quantity from the coal electric machine set i to the m-th month is decomposed by the gas electric machine set j.
The constraints of the model include:
1) Contract aggregate constraints
Figure BDA0003950787660000036
Figure BDA0003950787660000037
2) Decomposable power constraint
Figure BDA0003950787660000038
In the formula (I), the compound is shown in the specification,
Figure BDA0003950787660000039
and
Figure BDA00039507876600000310
minimum and maximum contracts for month m, respectively, may break down the electricity.
3) Unit minimum/maximum power generation constraint
Figure BDA00039507876600000311
Figure BDA00039507876600000312
In the formula (I), the compound is shown in the specification,
Figure BDA00039507876600000313
and
Figure BDA00039507876600000314
respectively the minimum and maximum generated energy of the coal electric unit i in the mth month;
Figure BDA00039507876600000315
and
Figure BDA00039507876600000316
respectively the minimum and maximum power generation of the gas-electric machine set j in the mth month. Considering the influence of the unit maintenance plan, the maximum power generation amount of the unit is different.
Furthermore, in the step 2, the consistency of the completion progress of the unit contracts of the same type is considered, a monthly contract electric quantity decomposition model is constructed to decompose the monthly contract electric quantity of the unit to every day, and the specific implementation method is as follows:
the monthly contract electric quantity decomposition model decomposes the monthly contract electric quantity of each unit to every day, the consistency of the completion progress of unit contracts of the same type is considered in the decomposition process, and the objective function is as follows:
Figure BDA0003950787660000041
Figure BDA0003950787660000042
Figure BDA0003950787660000043
Figure BDA0003950787660000044
Figure BDA0003950787660000045
in the formula, D m Number of days encompassed in month m;
Figure BDA0003950787660000046
and
Figure BDA0003950787660000047
respectively the contract completion degree of the coal electric machine set i and the gas electric machine set j on the mth month and the d day;
Figure BDA0003950787660000048
and
Figure BDA0003950787660000049
respectively the average contract completion degrees of all coal electric machine sets and all gas electric machine sets on the d day of the mth month;
Figure BDA00039507876600000410
and
Figure BDA00039507876600000411
the electric quantity from the m month to the d day of the coal electric machine set i and the gas electric machine set j is respectively decomposed.
The constraints of the model include:
1) Contract aggregate constraints
Figure BDA00039507876600000412
Figure BDA00039507876600000413
2) Decomposable power constraint
Figure BDA00039507876600000414
In the formula (I), the compound is shown in the specification,
Figure BDA00039507876600000415
and
Figure BDA00039507876600000416
minimum and maximum contracts for day d of month m, respectively, may break down the electricity.
3) Unit minimum/maximum power generation constraint
Figure BDA00039507876600000417
Figure BDA00039507876600000418
In the formula (I), the compound is shown in the specification,
Figure BDA0003950787660000051
and
Figure BDA0003950787660000052
respectively the minimum and maximum power generation amount of the coal electric machine set i, m, month and d days；
Figure BDA0003950787660000053
And
Figure BDA0003950787660000054
respectively the minimum and maximum power generation amount of the gas-electric machine set j on the d day of the mth month. Considering the influence of the unit maintenance plan, the maximum power generation amount of the unit is different.
Further, the step 3 is based on a typical load curve principle, and calculates the contract electric quantity decomposition results of the unit at different time intervals according to the load proportion, and the specific implementation method is as follows:
daily contract power decomposition is based on the typical load curve principle. Decomposing daily contract electric quantity of the coal machine and the gas machine according to the proportion of the power consumption in each period in the typical load curve to the typical daily electric quantity, and obtaining the contract electric quantity of each unit in different periods
Figure BDA0003950787660000055
Figure BDA0003950787660000056
In the formula (I), the compound is shown in the specification,
Figure BDA0003950787660000057
and
Figure BDA0003950787660000058
respectively decomposing the electric quantity from the mth month day to the tth time period for the coal electric machine set i and the gas electric machine set j; beta is a t And calculating the proportion of the electricity consumption in the typical daily electricity consumption in the t period according to the typical daily load curve.
The invention has the beneficial effects that:
when annual contracts of multiple types of units of a thermal power unit and a gas unit are decomposed, considering carbon emission requirements and unit overhaul conditions, two objective functions of schedule consistency and carbon emission balance are completed through contracts of the same type of units, the monthly output of the units are optimally arranged, and then daily plan and time interval plan electric quantity are further decomposed, so that the thermal power unit is favorable for arranging the planned output of specific time intervals under the limitation of a carbon emission policy environment, a reference is provided for reasonably arranging the output of different types of units and reducing uncertainty of an electric power dispatching mechanism in the day-ahead stage, and the balance of supply and demand conditions of the current time intervals of an electric power market physically executed by medium-term and long-term contracts is also favorable. The method is easy to operate, provides strategy reference for decomposing medium and long term contract curves by market operating organizations, and has certain practical significance for realizing medium and long term and spot goods coordinated operation and electric power system dispatching.
Drawings
FIG. 1 is a schematic overall flow diagram of the present invention.
Fig. 2 shows the annual contract power decomposition result.
Fig. 3 shows typical monthly contract power decomposition results.
Fig. 4 shows the result of the contract power decomposition at different time intervals on a typical day.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted. The positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent.
Fig. 1 is a schematic overall flow chart of the present invention. The invention relates to a medium-and-long-term contract electric quantity decomposition method considering carbon emission balance, which comprises the following steps:
step 1: and (4) considering the unit contract completion progress balance and the carbon emission balance, constructing an annual contract electric quantity decomposition model and decomposing the annual contract electric quantity of the unit to the month. The specific implementation method of the step is as follows:
the annual contract electric quantity decomposition model decomposes the annual contract electric quantity of each unit to the month, and the unit contract completion progress balance and the carbon emission balance are considered in the decomposition process, so that the model has two objective functions. The first objective function is that monthly contract completion progress of the same type of unit is balanced as much as possible, and can be expressed as:
Figure BDA0003950787660000061
Figure BDA0003950787660000062
Figure BDA0003950787660000063
Figure BDA0003950787660000064
Figure BDA0003950787660000065
wherein M is the total number of months per year, and M =12; i is c And J g The number of the coal electric machine set and the number of the gas electric machine set are respectively;
Figure BDA0003950787660000066
and
Figure BDA0003950787660000067
respectively the contract completion degrees from the coal electric machine set i and the gas electric machine set j to the mth month;
Figure BDA0003950787660000068
and
Figure BDA0003950787660000069
respectively the average contract completion degrees of all the coal electric machine sets and all the gas electric machine sets in the m month;
Figure BDA00039507876600000610
and
Figure BDA00039507876600000611
respectively decomposing the electric quantity of the coal electric machine set i and the electric quantity of the gas electric machine set j to the kth month;
Figure BDA00039507876600000612
and
Figure BDA00039507876600000613
the annual contract electric quantity of the coal electric machine set i and the gas electric machine set j is respectively.
Setting a target vector of carbon emission proportion of monthly in whole year set by a trading center as N = (N) 1 ,n 2 ,...,n M ) To satisfy
Figure BDA0003950787660000071
The actual setting can be considered as the load proportion per month or the average distribution of 12 months. A second objective function of annual contract decomposition is to have monthly carbon emissions as close as possible to the target proportion set by the trading center, which can be expressed as:
Figure BDA0003950787660000072
Figure BDA0003950787660000073
Figure BDA0003950787660000074
in the formula, C m The total carbon emission of all units in the mth month; c y The total carbon emission amount corresponding to annual contract electric quantity signed by all the units; m c,i And M g,i Carbon emission coefficients of the coal electric machine set i and the gas electric machine set j respectively represent carbon emission corresponding to unit generated energy;
Figure BDA0003950787660000075
and
Figure BDA0003950787660000076
the electric quantity from the coal electric machine set i to the m month is decomposed into the electric quantity from the gas electric machine set j to the m month.
The constraints of the model include:
1) Contract aggregate constraints
Figure BDA0003950787660000077
Figure BDA0003950787660000078
2) Decomposable electric quantity constraint
Figure BDA0003950787660000079
In the formula (I), the compound is shown in the specification,
Figure BDA00039507876600000710
and
Figure BDA00039507876600000711
minimum and maximum contracts for the mth month, respectively, may decompose the electrical energy.
3) Unit minimum/maximum power generation constraint
Figure BDA00039507876600000712
Figure BDA00039507876600000713
In the formula (I), the compound is shown in the specification,
Figure BDA00039507876600000714
and
Figure BDA00039507876600000715
respectively the minimum and maximum generated energy of the coal electric unit in the mth month；
Figure BDA00039507876600000716
And
Figure BDA00039507876600000717
respectively the minimum and maximum power generation of the gas-electric machine set j in the mth month. Considering the influence of the unit maintenance plan, the maximum generating capacity of the unit is different.
Step 2: and (4) considering the consistency of the completion progress of the unit contracts of the same type, and constructing a monthly contract electric quantity decomposition model to decompose the monthly contract electric quantity of the unit to every day. The specific implementation method of the step is as follows:
the monthly contract electric quantity decomposition model decomposes the monthly contract electric quantity of each unit to every day, the consistency of the completion progress of unit contracts of the same type is considered in the decomposition process, and the objective function is as follows:
Figure BDA0003950787660000081
Figure BDA0003950787660000082
Figure BDA0003950787660000083
Figure BDA0003950787660000084
Figure BDA0003950787660000085
in the formula D m Days included in month m;
Figure BDA0003950787660000086
and
Figure BDA0003950787660000087
respectively the contract completion degrees of the coal electric machine set i and the gas electric machine set j on the d th day of the m month;
Figure BDA0003950787660000088
and
Figure BDA0003950787660000089
respectively the average contract completion degrees of all the coal electric machine sets and all the gas electric machine sets on the d day of the m month;
Figure BDA00039507876600000810
and
Figure BDA00039507876600000811
the electric quantity from the m-th month to the d-th day of the coal electric machine set i and the gas electric machine set j respectively.
The constraints of the model include:
1) Contract aggregate constraints
Figure BDA00039507876600000812
Figure BDA00039507876600000813
2) Decomposable electric quantity constraint
Figure BDA00039507876600000814
In the formula (I), the compound is shown in the specification,
Figure BDA00039507876600000815
and
Figure BDA00039507876600000816
minimum and maximum contracts for day d of month m, respectively, may break down the electricity.
3) Unit minimum/maximum power generation constraint
Figure BDA0003950787660000091
Figure BDA0003950787660000092
In the formula (I), the compound is shown in the specification,
Figure BDA0003950787660000093
and
Figure BDA0003950787660000094
respectively the minimum and maximum power generation amount of the coal electric unit i on the d day of the mth month;
Figure BDA0003950787660000095
and
Figure BDA0003950787660000096
respectively the minimum and maximum power generation amount of the gas-electric machine set j on the d day of the mth month. Considering the influence of the unit maintenance plan, the maximum power generation amount of the unit is different.
And step 3: and calculating the contract electric quantity decomposition results of the unit at different time intervals according to the load proportion based on a typical load curve principle. The specific implementation method of the step is as follows:
daily contract electricity split is based on the typical load curve principle. The daily contract electric quantity of the coal machine and the gas machine is decomposed according to the proportion of the power consumption in each period in the typical load curve to the typical daily electric quantity, and contract electric quantities of different periods of each unit can be obtained
Figure BDA0003950787660000097
Figure BDA0003950787660000098
In the formula (I), the compound is shown in the specification,
Figure BDA0003950787660000099
and
Figure BDA00039507876600000910
respectively decomposing the electric quantity from the mth month day to the tth time period for the coal electric machine set i and the gas electric machine set j; beta is a beta t And calculating the proportion of the electricity consumption in the typical daily electricity consumption in the t period according to the typical daily load curve.
The present invention is further illustrated by the following examples.
Assuming that three coal-electric machine sets (100 ten thousand kW, 60 ten thousand kW, 30 ten thousand kW) and two gas-electric machine sets (70 ten thousand kW, 40 ten thousand kW) with powers of 100 ten thousand kW, 60 ten thousand kW, and 30 ten thousand kW respectively are provided, relevant parameters are shown in Table 1.
TABLE 1 contract electric quantity and carbon emission coefficient of unit
Unit number Annual contract electric quantity (hundred million kWh) Coefficient of carbon emission
Coal machine
1 25 4
Coal machine 2 13 5
Coal machine 3 7 6
Gas engine 1 14 2
Gas engine 2 7 3
The result of decomposing the annual contract electric quantity of each unit is shown in the attached figure 2. The specific values of the decomposed electric quantities of the three coal electric units per month are kept close, and the decomposed electric quantities of the two gas electric units per month also have the rule, so that the goal that the annual contract electric quantity decomposition can ensure the contract completion progress balance of the same type of units is shown. The carbon emission target set in the present example is balanced every month, so in two months with higher total electric quantity, namely 7 months and 8 months, the decomposed electric quantity of the two gas-electric machine sets is more, the electric energy production of the coal-electric machine set is reduced, and the carbon emission quantity of the two months is as low as possible and is consistent with that of other months.
And analyzing the monthly contract electric quantity decomposition condition by taking the 1 month contract electric quantity decomposition result as an example, as shown in the attached figure 3. As the coal machines 3 of 5 to 14 are in the maintenance period, in order to ensure the balance of contract completion progress, more power generation is arranged for the coal machines 3 before and after the maintenance period (No. 3 to 4 and No. 15 to 16). Similarly, steam turbine nos. 21-27 are in the overhaul period, and more power generation is scheduled for steam turbine nos. 20 and 28 for steam turbine No. 1. The monthly contract electric quantity model provided is proved to be capable of considering the influence of the maintenance plan and reasonably arranging the electric energy generation of each unit so as to ensure the consistency of the contract completion progress of the units of the same type as much as possible.
The daily contract electricity decomposition condition is analyzed according to the contract electricity decomposition condition of 1 month and 1 day, as shown in the attached figure 4. Because the daily contract electric quantity decomposition model is based on the principle of the typical load curve, the obtained total contract electric quantity curve is consistent with the shape of the typical load curve, and the contract electric quantity curve of each unit is also consistent with the typical load curve.
It should be understood that the above examples are only for clearly illustrating the present invention and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.

Claims (4)

1. A medium-and-long-term contract electric quantity decomposition method considering carbon emission balance is characterized by comprising the following steps:
step 1: considering the contract completion progress balance and the carbon emission balance of the unit, constructing an annual contract electric quantity decomposition model and decomposing the annual contract electric quantity of the unit to a month;
step 2: considering the consistency of the completion progress of unit contracts of the same type, constructing a monthly contract electric quantity decomposition model and decomposing monthly contract electric quantity of the unit to every day;
and 3, step 3: and calculating the contract electric quantity decomposition results of the unit at different time intervals according to the load proportion based on a typical load curve principle.
2. The medium-and-long-term contract electricity quantity decomposition method considering carbon emission balance according to claim 1, characterized in that: in the step 1, the progress balance and the carbon emission balance of the unit contract are considered, an annual contract electric quantity decomposition model is constructed to decompose the annual contract electric quantity of the unit to the month, and the specific method is as follows:
the annual contract electric quantity decomposition model decomposes the annual contract electric quantity of each unit to the month, considers the unit contract completion progress balance and the carbon emission balance in the decomposition process, and has two objective functions: the first objective function is that monthly contract completion progress of the same type of unit is balanced as much as possible, and is expressed as follows:
Figure FDA0003950787650000011
Figure FDA0003950787650000012
Figure FDA0003950787650000013
Figure FDA0003950787650000014
Figure FDA0003950787650000015
wherein M is the total monthly parts per year, and M =12; i is c And J g The number of the coal electric machine set and the number of the gas electric machine set are respectively;
Figure FDA0003950787650000016
and
Figure FDA0003950787650000017
respectively the contract completion degrees from the coal electric machine set i and the gas electric machine set j to the mth month;
Figure FDA0003950787650000018
and
Figure FDA0003950787650000019
respectively the average contract completion degrees of all the coal electric machine sets and all the gas electric machine sets in the m month;
Figure FDA0003950787650000021
and
Figure FDA0003950787650000022
respectively a coal electric machine set i and an air electric machine setj decomposes the electric quantity to the kth month;
Figure FDA0003950787650000023
and
Figure FDA0003950787650000024
annual contract electric quantity of the coal electric machine set i and the gas electric machine set j are respectively;
setting a target vector of carbon emission proportion of monthly in whole year set by a trading center as N = (N) 1 ,n 2 ,...,n M ) Satisfy the following requirements
Figure FDA0003950787650000025
A second objective function of annual contract decomposition is to have monthly carbon emissions as close as possible to the target proportion set by the trading center, which can be expressed as:
Figure FDA0003950787650000026
Figure FDA0003950787650000027
Figure FDA0003950787650000028
in the formula, C m The total carbon emission of all units in the mth month; c y The total carbon emission amount corresponding to annual contract electric quantity signed by all the units; m is a group of c,i And M g,i Carbon emission coefficients of the coal electric machine set i and the gas electric machine set j respectively represent carbon emission corresponding to unit generated energy;
Figure FDA0003950787650000029
and
Figure FDA00039507876500000210
respectively decomposing the electric quantity of the coal electric machine set i and the electric quantity of the gas electric machine set j to the mth month;
the constraints of the model include:
1) Contract aggregate constraints
Figure FDA00039507876500000211
Figure FDA00039507876500000212
2) Decomposable power constraint
Figure FDA00039507876500000213
In the formula (I), the compound is shown in the specification,
Figure FDA00039507876500000214
and
Figure FDA00039507876500000215
electricity can be decomposed by minimum and maximum contracts of month m, respectively;
3) Unit minimum/maximum power generation constraint
Figure FDA00039507876500000216
Figure FDA00039507876500000217
In the formula (I), the compound is shown in the specification,
Figure FDA0003950787650000031
and
Figure FDA0003950787650000032
respectively the minimum and maximum generated energy of the coal electric unit i in the mth month;
Figure FDA0003950787650000033
and
Figure FDA0003950787650000034
respectively the minimum and maximum power generation of the gas-electric machine set j in the mth month.
3. The medium-and-long-term contract electricity quantity decomposition method considering carbon emission balance according to claim 1, characterized in that: in the step 2, the consistency of the completion progress of the unit contracts of the same type is considered, a monthly contract electric quantity decomposition model is constructed to decompose the monthly contract electric quantity of the unit to every day, and the specific method is as follows:
the monthly contract electric quantity decomposition model decomposes the monthly contract electric quantity of each unit to every day, the consistency of the completion progress of the unit contracts of the same type is considered in the decomposition process, and the objective function is as follows:
Figure FDA0003950787650000035
Figure FDA0003950787650000036
Figure FDA0003950787650000037
Figure FDA0003950787650000038
Figure FDA0003950787650000039
in the formula, D m Days included in month m;
Figure FDA00039507876500000310
and
Figure FDA00039507876500000311
respectively the contract completion degrees of the coal electric machine set i and the gas electric machine set j on the d th day of the m month;
Figure FDA00039507876500000312
and
Figure FDA00039507876500000313
respectively the average contract completion degrees of all the coal electric machine sets and all the gas electric machine sets on the d day of the m month;
Figure FDA00039507876500000314
and
Figure FDA00039507876500000315
respectively decomposing the electric quantity from the m-th month to the d-th day for the coal electric machine set i and the gas electric machine set j;
the constraints of the model include:
1) Contract aggregate constraints
Figure FDA00039507876500000316
Figure FDA00039507876500000317
2) Decomposable electric quantity constraint
Figure FDA0003950787650000041
In the formula (I), the compound is shown in the specification,
Figure FDA0003950787650000042
and
Figure FDA0003950787650000043
the minimum contract and the maximum contract of day d of the mth month can decompose the electric quantity respectively;
3) Unit minimum/maximum power generation constraint
Figure FDA0003950787650000044
Figure FDA0003950787650000045
In the formula (I), the compound is shown in the specification,
Figure FDA0003950787650000046
and
Figure FDA0003950787650000047
respectively the minimum and maximum power generation amount of the coal electric unit i on the d day of the mth month;
Figure FDA0003950787650000048
and
Figure FDA0003950787650000049
respectively the minimum and maximum power generation amount of the gas-electric machine set j on the d day of the mth month.
4. The medium-and-long-term contract electricity quantity decomposition method considering carbon emission balance according to claim 1, characterized in that: in the step 3, based on the principle of a typical load curve, the result of the contract electric quantity decomposition of the unit in different time periods is calculated according to the load proportion, and the specific method is as follows:
daily contract electricity quantity decomposition is based on a typical load curve principle, daily contract electricity quantities of the coal machine and the gas machine are decomposed according to the proportion of electricity consumption in each time period in a typical load curve to typical daily electricity quantity, and contract electricity quantities of different time periods of each unit can be obtained
Figure FDA00039507876500000410
Figure FDA00039507876500000411
In the formula (I), the compound is shown in the specification,
Figure FDA00039507876500000412
and
Figure FDA00039507876500000413
respectively decomposing the electric quantity from the mth month day to the tth time period for the coal electric machine set i and the gas electric machine set j; beta is a t And calculating the proportion of the electricity consumption in the typical daily electricity consumption in the t period according to the typical daily load curve.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116128385A (en) * 2023-04-13 2023-05-16 昆明电力交易中心有限责任公司 Scheduling checking clearing method and device considering carbon emission constraint

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116128385A (en) * 2023-04-13 2023-05-16 昆明电力交易中心有限责任公司 Scheduling checking clearing method and device considering carbon emission constraint

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